Samarth Sarvade | Electronics | Best Researcher Award

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Mr. Samarth Sarvade | Electronics | Best Researcher Award

Samarth Sarvade is an aspiring researcher and technology enthusiast specializing in cloud computing, AI, and IoT-driven solutions. With a passion for problem-solving, he actively contributes to technological advancements through patents, research papers, and innovative projects. As the Google Developer Student Clubs Lead, he successfully organized hackathons and workshops, fostering a culture of learning and collaboration. He has also served as a Google Cloud Arcade Facilitator, guiding over 1,050+ students in hands-on cloud computing experiences. His projects, including AgroGuard and Cyber Attacks Analytics Tool, showcase his ability to integrate AI with real-world applications. He actively participates in technical communities like DevHub and FOSS United, driving tech engagement in Solapur. With a strong foundation in software development, data analytics, and cybersecurity, he is committed to leveraging technology for impactful solutions. His research work is indexed in Scopus, reflecting his dedication to high-quality academic contributions.

Publication Profile

Scholar

πŸŽ“ Education

Samarth Sarvade is pursuing a Bachelor of Engineering in Electronics & Telecommunication at Nagesh Karajagi Orchid College of Engineering and Technology, Solapur (2021-2025). He completed his Higher Secondary School Certificate (HSC) from Walchand College of Arts and Science, Solapur (2019-2021) and his Secondary School Certificate (SSC) from Hindustani Covenant Church English Medium High School, Solapur (2018-2019). His academic journey is marked by excellence in technical education, complemented by hands-on project development and research in AI, IoT, and cloud computing. His engineering education has provided him with expertise in programming, analytics, and emerging technologies, equipping him with the necessary skills for cutting-edge research. Actively engaged in tech communities and competitions, he has developed projects that integrate machine learning, cybersecurity, and automation, solidifying his reputation as an innovative thinker in the engineering domain.

πŸ’Ό Experience

As the Google Developer Student Clubs Lead (2023-2024), Samarth played a pivotal role in organizing hackathons like Solution Challenge and workshops such as GenAI, fostering an ecosystem of learning at his institute. As a Google Cloud Arcade Facilitator (2023-2024), he led multiple cloud computing events, training over 1,050+ students in Google Cloud services. He is also a community leader at DevHub and FOSS United, Solapur, where he organized IoT and AI-focused workshops, connecting students with industry experts. His technical expertise extends to research and project development, with patents in AI-based farm management and railway automation. His research contributions, published in Scopus-indexed journals, demonstrate his dedication to academic excellence. He has also built innovative tools like Cyber Attacks Analytics Tool, enhancing cybersecurity insights. His multifaceted experience bridges academia, research, and industry, shaping him into a dynamic technology leader.

πŸ† Awards & Honors

Gold Prize for AgroGuard at Aavishkar Zonal & University Level (2024). Finalist at Intelliswift Innovation Hackathon (2023) for Kisan Ki Duniya. Ultimate Milestone Achiever – Google Cloud India (2024) for cloud computing contributions. Graduated Google Developer Student Clubs Lead (2024) for exceptional leadership. DIPEX 2024 Exhibition cum Competition participation. Best Paper Award Nomination – Procedia Computer Science (2025) for railway automation research. Ideathon 3.0 Participant (2024) for innovation in sustainable technologies. National Intellectual Property Awareness Mission (2023) certification for contributions to patent filing. Certified AWS Cloud Practitioner & Microsoft DevOps Specialist for excellence in cloud computing His awards reflect his dedication to research, innovation, and leadership in emerging technologies.

πŸ”¬ Research Focus

Samarth Sarvade’s research revolves around AI-driven automation, IoT in agriculture, cloud computing, and cybersecurity. His work includes patented AI-based agricultural management systems, LoRaWAN-enabled railway automation, and cybersecurity analytics using LLM (Llama 3). He has published Scopus-indexed research papers, including β€œAgroGuard: Intelligent Farm Cover Control” and β€œOptimizing Railway Signaling with RFID and Automation”. His projects integrate machine learning, embedded systems, and cloud computing to create innovative real-world solutions. He is particularly interested in intelligent automation for smart cities, AI-enhanced cybersecurity threat detection, and industrial IoT applications. His research contributions, recognized in international conferences, showcase his ability to apply theoretical knowledge to practical problem-solving, contributing significantly to national security and technological self-reliance.

Conclusion

Samarth Sarvade is a highly promising researcher with a strong foundation in innovation, leadership, and technology-driven solutions. While his patents and projects demonstrate real-world impact, focusing on higher-ranked research publications and industry collaborations would further strengthen his candidacy for the Best Researcher Award.

Publication 

  • Title: Agroguard: Intelligent Farm Cover Control and Climate Management System
    Year: 2024
    Authors: RS Bakare, SR Sarvade
    Citation: Grenze International Journal of Engineering & Technology (GIJET) 10

 

  • Title: Optimizing Railway Signaling and Platform Management with LoRaWAN, RFID and Automation Technologies
    Year: 2025
    Authors: S Sarvade, V Shirwal, P Kugaonkar, K Mudgonda
    Citation: Procedia Computer Science 252, 557-566

 

 

Adarsh Chaurasiya | Mechanical | Best Researcher Award

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Mr. Adarsh Chaurasiya | Mechanical | Best Researcher Award

Research Scholar, Maulana Azad National Institute of Technology Bhopal MP India

Adarsh Chaurasiya is a dedicated mechanical engineer with expertise in materials engineering and composite fabrication. He earned his M.Tech in Engineering Materials from MANIT Bhopal and a B.E. in Mechanical Engineering from RGPV Bhopal. Adarsh has hands-on experience through internships at Tata Consultancy Services (TCS) in remote proctoring and technical support. His research focuses on basalt fiber-reinforced epoxy composites, with publications in international conferences. He has received the Chancellor’s Scholarship and has a strong academic record. Proficient in CATIA, AutoCAD, and MS Office, he also holds NCC β€˜B’ and β€˜C’ certificates, demonstrating leadership skills.

Publication Profile

Oricd

πŸŽ“ Education

M.Tech in Engineering Materials – MANIT Bhopal (2021) – 8.46 CGPA. B.E. in Mechanical Engineering – RGPV Bhopal (2017) – 7.38 CGPA. 12th (PCM) – MPBSE Bhopal (2011) – 75%. 10th – MPBSE Bhopal (2009) – 75.83%

πŸ’Ό Experience

Intern – Remote Proctoring (TCS) (2020-2021). Intern – Technical Support Team (TCS) (2020-2021). Spring Manufacturing Technology Training – North Central Railway, Gwalior

πŸ† Awards & Honors

Chancellor’s Scholarship (2015) – RGPV University for academic excellence. GATE 2018 Qualified – Score: 460, Marks: 45.08

πŸ” Research Focus

Composite Materials & Polymer Science – Synthesis of basalt fiber-reinforced epoxy composites. Material Characterization & Manufacturing – Hand layup fabrication techniques. Advanced Materials & Nanotechnology – Participation in AMMS-2020 and NNIA-2020 workshops

Publication Top Notes

Title: Characterization of Eco-Engineered Hybrid Polymer Composites: Reinforcing Epoxy with Basalt Fibers and Recycled Biochar from Rice Husk for Enhanced Mechanical and Environmental Performance
Year: 2025
Authors: Adarsh Chaurasiya, R. S. Rana

 

ANUSH PRABHAKARAN |power electronics| Best Researcher Award

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Mr. ANUSH PRABHAKARAN |power electronics| Best Researcher Award

Anush Prabhakaran is a seasoned power electronics engineer with expertise in designing and implementing DC-AC and AC-DC converters for industrial applications. With a strong background in system architecture and safety-critical systems, he has successfully led technical initiatives to optimize performance and reliability. His proficiency spans power electronics design, MATLAB/Simulink simulations, enterprise architecture, and compliance with safety standards. Currently serving as Lead Engineer at Bosch Global Software Technologies, he has previously held key roles at Sunlux Technovations, Kumaraguru College of Technology, and ARM Technologies. Anush has contributed significantly to renewable energy projects, including solar power systems and industrial UPS designs. His innovative work has led to patents in electric vehicle charging and IoT-based voltage protection. Holding degrees in Power Electronics & Drives, Financial Management, and Electrical & Electronics Engineering, he combines technical acumen with leadership capabilities to drive advancements in power conversion technologies.

Profile

Scopus

Education πŸŽ“

Master of Engineering – Power Electronics & Drives (2010)  Kumaraguru College of Technology. Master of Business Administration – Financial Management (2010)  Bharathiar University. Bachelor of Engineering – Electrical & Electronics (2008)  Sri Ramakrishna Institute of Technology

Experience πŸ§‘β€πŸ«

Lead Engineer (Apr 2023 – Present)  Bosch Global Software Technologies Led system architecture for safety-critical power systems Reduced development cycles by 30% through optimized architecture Implemented MBSE methodologies, enhancing reliability by 40%. Assistant Manager – Embedded Systems (Jul 2022 – Mar 2023)  Sunlux Technovations Designed 5kW industrial UPS and phase-sequence detection converters Developed a 260W Flyback converter with advanced protection features. Assistant Professor – Hardware Engineering (Jun 2013 – May 2022)  Kumaraguru College of Technology. Designed DC-AC (1.5kW) and DC-DC (1kW) converters for motor control. Developed a 500W solar tracking system with micro-inverter technology. Engineer – Renewable Energy (May 2010 – Apr 2013)  ARM Technologies Led 150kW solar power projects with 96% reliability Specialized in grid-tied converters and AC-DC-AC systems

Research Interests πŸ”¬

Anush Prabhakaran’s research centers on power electronics, energy conversion, and renewable energy systems. His work involves optimizing DC-AC and AC-DC converters, designing high-efficiency industrial UPS systems, and improving electric vehicle charging solutions. He has developed fractional-order PID controllers for sensorless motor control and explored machine learning for power system protection. His patents cover ultra-fast supercapacitor charging and IoT-based over/under voltage protection. Anush also focuses on MBSE methodologies to enhance power system reliability and grid-tied solar energy solutions to improve energy efficiency. His research integrates advanced simulation tools like MATLAB/Simulink to develop high-performance power conversion architectures.

πŸ† Awards & Honors πŸ†

Best Innovation Award  For contributions to power electronics and converter design. Early Career Research Excellence Award  Recognized for advancements in electric vehicle charging. Best Paper Award  For research on fractional-order PID controllers in motor control. Top Performer Recognition  At Bosch Global Software Technologies for reducing development cycles. Academic Excellence Award  During M.E. studies at Kumaraguru College of Technology

Publications πŸ“š

1️⃣ Fractional Order PID Controller with Hybrid Algorithm for IM Motor Control

2️⃣ Optimized Fractional Order PID Controller with Sensorless Speed Estimation

Conclusion πŸ†

Anush Prabhakaran’s blend of industrial expertise, academic contributions, patents, and publications in power electronics makes him a strong candidate for the Best Researcher Award. His research in renewable energy, electric vehicles, and safety-critical power systems aligns with current industry advancements. Strengthening his publication record in top-tier journals and expanding research collaborations would further enhance his standing as a top researcher in his field.

ERHAN YUMUK | Control Engineering | Best Researcher Award

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Dr. ERHAN YUMUK | Control Engineering | Best Researcher Award

Postdoctoral researcher, Ghent University Belgium

Erhan Yumuk is an Assistant Professor at Istanbul Technical University, specializing in Control Engineering. With over 10 years of experience, he focuses on control theory and its applications, having supervised numerous undergraduate and postgraduate students. His extensive research output is complemented by a history of prestigious academic roles, including as a Postdoctoral Researcher at Ghent University. He aims to expand the scientific understanding of various control strategies.

Publication Profile

Google Scholar

πŸŽ“ Education

Ph.D. in Control and Automation Engineering, Istanbul Technical University (2015-2022), GPA: 4.00/4.00. M.Sc. in Control and Automation Engineering, Istanbul Technical University (2012-2015), GPA: 3.93/4.00. B.Sc. in Control and Automation Engineering (2009-2013), Istanbul Technical University, GPA: 3.88/4.00. B.Sc. in Electronic Engineering (2007-2012), Istanbul Technical University, GPA: 3.91/4.00

πŸ§‘β€πŸ« Experience

Assistant Professor, Istanbul Technical University (May 2023-Present). Co-head of Department, Istanbul Technical University (May 2023-Present). Postdoctoral Researcher, Ghent University (Jan 2023-Present). Lecturer, Istanbul Technical University (Jan 2022-May 2023). Research and Teaching Assistant, Istanbul Technical University (Feb 2013-Jan 2022). Candidate Engineer, MKR-IC, Istanbul (Jun 2012-Sep 2012). Intern, NETAS, ASELSAN, ARCELIK.

πŸ† Awards & Honors

COST Action CA 15225 Training School Grant (2019). COST Action CA 15225 Study Group Event Grant (2018). Best Paper Award, IEEE (2015). Success Scholarship, Scientific and Technological Research Council of Turkey (2012-2014)

πŸ”¬ Research Focus

Erhan Yumuk’s research revolves around control theory, fractional-order systems, PID controller design, and their applications in diverse fields such as industrial systems, automation, and healthcare. His work also emphasizes the design and analysis of robust controllers for time-delay systems and system stability. His recent studies have contributed to advanced modeling and control strategies in the field of system control and automation.

🎯Conclusion 

In conclusion, Erhan Yumuk is an outstanding candidate for the Best Researcher Award, owing to his remarkable research output, academic achievements, and contributions to the control engineering community. His ability to push the boundaries of control theory while maintaining a strong academic presence is commendable. With a bit more emphasis on interdisciplinary and industry collaborations, Erhan can further solidify his position as a global leader in the field of control engineering.

Publication Top Notes

  • Title: Active set method based model predictive control for a ball and beam system
    Year: 2017
    Authors: H Nak, Ş Akkaya, E Yumuk
    Citations: 5

 

  • Title: Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data
    Year: 2024
    Authors: GB Othman, AR Ynineb, E Yumuk, H Farbakhsh, C Muresan, IR Birs, …
    Citations: 3

 

  • Title: Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia
    Year: 2024
    Authors: E Yumuk, D Copot, CM Ionescu, M Neckebroek
    Citations: 3

 

  • Title: Online tuning of derivative order term of variable‐order fractional–integral–derivative controllers for the first‐order time delay systems
    Year: 2023
    Authors: M Can Kurucu, E Yumuk, M GΓΌzelkaya, I Eksin
    Citations: 3

 

  • Title: Reduced inverse integer-order controller design for a class of fractional-order model: Case study on two-tank liquid-level process
    Year: 2023
    Authors: E Yumuk, M GΓΌzelkaya, I Eksin
    Citations: 3

 

  • Title: Analytical and optimal fractional order controller design methodologies implemented on magnetic levitation system
    Year: 2019
    Authors: SB KΓΆse, E Yumuk, M GΓΌzelkaya, Δ° Eksin
    Citations: 3

 

  • Title: Selecting Optimal Long Short-Term Memory (LSTM) Architectures for Online Estimation of Mean Arterial Pressure (MAP) in Patients Undergoing General Anesthesia
    Year: 2024
    Authors: G Ben Othman, D Copot, E Yumuk, M Neckebroek, CM Ionescu
    Citations: 2

 

  • Title: Enhancing pain level assessment in post-surgery patients using artificial intelligence algorithms
    Year: 2024
    Authors: GB Othman, E Yumuk, D Copot, AR Ynineb, H Farbakhsh, IR Birs, …
    Citations: 2

 

  • Title: Model Extraction From Clinical Data Subject to Large Uncertainties and Poor Identifiability
    Year: 2024
    Authors: CM Ionescu, R De Keyser, D Copot, E Yumuk, A Ynineb, GB Othman, …
    Citations: 2

 

  • Title: Model predictive control of hemodynamics during intravenous general anesthesia
    Year: 2023
    Authors: H Farbakhsh, E Yumuk, GB Othman, R De Keyser, D Copot, I Birs, …
    Citations: 2

 

  • Title: A robust auto-tuning PID controller design based on S-shaped time domain response
    Year: 2022
    Authors: E Yumuk, C Copot, CM Ionescu
    Citations: 2

 

  • Title: An analytical criterion for stability testing of delayed Bode’s transfer function with unity feedback
    Year: 2024
    Authors: E Yumuk
    Citations: 1

 

  • Title: A Decoupled Fractional Order Control Strategy to increase patient safety during Anesthesia-Hemodynamic Interactions
    Year: 2024
    Authors: E Hegedus, MD Mihai, IR Birs, H Farbakhsh, E Yumuk, D Copot, …
    Citations: 1

 

Karthick SA| Control Theory | Best Researcher Award

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Dr. Karthick SA| Control Theory | Best Researcher Award

Assistant Professor, SRM Institute of Science andTechnology, Kattankulathur India

Dr. S. A. Karthick is an experienced academic and researcher specializing in robust control systems, fuzzy systems, and UAV systems. He is currently an Assistant Professor at SRM Institute of Science and Technology, Chennai. Dr. Karthick completed his Post-doctoral fellowship at National Tsing Hua University, Taiwan (2021-2023), following his Ph.D. in Mathematics from Anna University, Coimbatore. His work spans robust control, filter design, and suspension systems.

Publication Profile

Scholar

πŸŽ“ Education 

Post-doctoral Fellow (2021-2023) at National Tsing Hua University, Taiwan. Ph.D. in Mathematics (2020) from Anna University, Coimbatore. M.Phil. in Mathematics (2013) from Gobi Arts & Science College, Gobichettipalayam. M.Sc. in Mathematics (2011) from Kongu Arts & Science College, Erode. B.Sc. in Mathematics (2009) from Gobi Arts & Science College, Gobichettipalayam

πŸ’Ό Experience 

Dr. Karthick is currently an Assistant Professor at SRM Institute of Science and Technology, Chennai (Sept 2023-present). He was a Postdoctoral Fellow at National Tsing Hua University, Taiwan (2021-2023). Prior to this, he worked as an Assistant Professor at PPG Institute of Technology, Coimbatore (2013-2015). His academic journey has provided him with in-depth expertise in mathematics and engineering applications.

πŸ† Awards & Honors 

Dr. Karthick received the National Science and Technology Council-NSTC Fellowship (2021-2023) during his postdoctoral research in Taiwan. He has been recognized for his excellence in research, particularly in robust control systems and fuzzy systems. His contributions to suspension systems and UAV systems further solidified his reputation in the academic community.

πŸ”¬ Research Focus 

Dr. Karthick’s research interests include robust control systems, fuzzy systems, filter design, and unmanned aerial vehicle (UAV) systems. He explores mathematical models to improve system reliability and efficiency, focusing on the design and analysis of systems like suspension systems and UAV control, aiming to advance automation and control technologies. His work contributes significantly to applied mathematics and engineering fields.

Publication Top Notes

  • Dissipativity-based non-fragile sampled-data control design of interval type-2 fuzzy systems subject to random delays
    • Year: 2018
    • Authors: R Sakthivel, SA Karthick, B Kaviarasan, F Alzahrani
    • Citations: 48

 

  • Disturbance rejection of fractional-order TS fuzzy neural networks based on quantized dynamic output feedback controller
    • Year: 2019
    • Authors: SA Karthick, R Sakthivel, YK Ma, S Mohanapriya, A Leelamani
    • Citations: 45

 

  • Synchronization of coupled memristive neural networks with actuator saturation and switching topology
    • Year: 2020
    • Authors: SA Karthick, R Sakthivel, C Wang, YK Ma
    • Citations: 29

 

  • Synchronization of semi-Markov coupled neural networks with impulse effects and leakage delay
    • Year: 2020
    • Authors: SA Karthick, R Sakthivel, F Alzahrani, A Leelamani
    • Citations: 27

 

  • Finite-time decentralized event-triggering non-fragile control for fuzzy neural networks with cyber-attack and energy constraints
    • Year: 2021
    • Authors: S Kanakalakshmi, R Sakthivel, SA Karthick, A Leelamani, A Parivallal
    • Citations: 25

 

  • Reliable state estimation of switched neutral system with nonlinear actuator faults via sampled-data control
    • Year: 2017
    • Authors: R Sakthivel, SA Karthick, B Kaviarasan, Y Lim
    • Citations: 20

 

  • Proportional integral observer based tracking control design for Markov jump systems
    • Year: 2021
    • Authors: M Vijayakumar, R Sakthivel, A Mohammadzadeh, SA Karthick, …
    • Citations: 14

 

  • Observer based guaranteed cost control for Markovian jump stochastic neutral-type neural networks
    • Year: 2020
    • Authors: SA Karthick, R Sakthivel, YK Ma, A Leelamani
    • Citations: 13

 

  • Non-fragile control design for stochastic Markov jump system with multiple delays and cyber attacks
    • Year: 2022
    • Authors: H Divya, R Sakthivel, SA Karthick, C Aouiti
    • Citations: 12

 

  • Finite-time synchronization of hierarchical hybrid coupled neural networks with mismatched quantization
    • Year: 2021
    • Authors: R Sakthivel, N Aravinth, C Aouiti, K Arumugam
    • Citations: 8

 

  • Memory feedback finite-time control for memristive neutral-type neural networks with quantization
    • Year: 2021
    • Authors: SA Karthick, R Sakthivel, C Aouiti, A Leelamani
    • Citations: 7

 

  • Hybrid‐triggered based reliable filter design for interval type‐2 fuzzy system under deception attacks and missing measurements
    • Year: 2023
    • Authors: K Arumugam, BS Chen
    • Citations: 6

 

  • Finite-time non-fragile control for synchronization of fractional-order stochastic neural networks
    • Year: 2023
    • Authors: S Kanakalakshmi, R Sakthivel, SA Karthick, C Wang, A Leelamani
    • Citations: 5

 

  • Finite-time reliable sampled-data control for fractional-order memristive neural networks with quantisation
    • Year: 2023
    • Authors: R Sakthivel, K SA, C Wang
    • Citations: 5

 

Hilda Dinah Kyomuhimbo | sensor applications | Best Researcher Award

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Ms. Hilda Dinah Kyomuhimbo | sensor applications | Best Researcher Award

Ms at Univeristy of Pretoria, South Africa

Hilda Dinah Kyomuhimbo is a dedicated researcher specializing in chemical engineering, biosensors, and sustainable wastewater treatment technologies. She is currently pursuing her Ph.D. at the University of Pretoria, focusing on laccase enzyme immobilized on metal-polymer composite beads. Hilda is passionate about utilizing innovative, eco-friendly approaches to address environmental challenges, improve community living conditions, and protect vulnerable populations. With 14 peer-reviewed publications, numerous awards, and a commitment to leadership and community engagement, she continues to make impactful contributions to environmental and chemical engineering research.

Profile

Scopus

Orcid

Scholar

πŸŽ“ Education 

Ph.D. in Chemical Engineering (2021-2024): University of Pretoria. M.Sc. in Chemistry (2015-2018): University of Nairobi, focused on plant-extracted metal nanoparticles for biosensing. B.Sc. in Industrial Chemistry (2011-2015): Makerere University, research on sunflower wax waste utilization. Short Courses (2023-2024): Environmental Management, Wastewater Treatment, Reaction Engineering, Water Quality Management (University of Pretoria).

πŸ’Ό Experience

Assistant Lecturer (2022-2024): University of Pretoria, supervising students and leading discussions. Research Assistant (2020-2021): Makerere University, operating biomass and hydrothermal reactors. Deputy Head Teacher and Chemistry Teacher (2011-2015): Kitara Model Secondary School and Masindi Secondary School. Student Supervision (2023-2024): Mentored and guided undergraduate projects on wastewater treatment and composite synthesis.

πŸ† Awards & Honors

Schlumberger Foundation Faculty for the Future Fellow (2024-2025). Margaret McNamara Education Grant (2023) for Ph.D. studies. National Research Foundation Grant (2022-2024). DAAD Scholarship (2015-2018) for M.Sc. studies. Government of Uganda Scholarship (2011-2015) for B.Sc. studies. Multiple research and merit awards at the University of Pretoria (2021-2023).

πŸ”¬ Research Focus

Biosensors: Designing and fabricating sensors using laccase enzyme immobilization. Wastewater Treatment: Developing eco-friendly and sustainable technologies. Nanotechnology: Synthesis of metal nanoparticles for biosensing and antiseptics. Community Impact: Projects like solar-powered plasma water treatment for rural communities. Mentorship: Guiding students in innovative environmental and chemical engineering research.

Conclusion

Hilda Dinah Kyomuhimbo is an exceptional researcher with a well-rounded profile, balancing academic excellence, practical innovation, and community engagement. Her dedication to sustainable solutions and her proven ability to secure competitive grants and awards make her a strong contender for the Best Researcher Award. With continued focus on collaborative and translational research, she is poised to make even greater contributions to the scientific and global community.

πŸ“šPublications 

  1. Title: Applications and Immobilization Strategies of the Copper-Centred Laccase Enzyme: A Review
    Authors: HD Kyomuhimbo, HG Brink
    Year: 2023

 

  1. Title: Silver–Zinc Oxide Nanocomposite Antiseptic from the Extract of Bidens pilosa
    Authors: HD Kyomuhimbo, IN Michira, FB Mwaura, S Derese, U Feleni, EI Iwuoha
    Year: 2019

 

  1. Title: Electroconductive Green Metal‐Polyaniline Nanocomposites: Synthesis and Application in Sensors
    Authors: HD Kyomuhimbo, U Feleni
    Year: 2023
  2. Title: Synthesis and Assessment of Antimicrobial Composites of Ag Nanoparticles or AgNO3 and Egg Shell Membranes
    Authors: ST Aina, HD Kyomuhimbo, S Ramjee, B Du Plessis, V Mjimba, A Maged, …
    Year: 2023

 

  1. Title: Catalytic and Energy Storage Applications of Metal/Polyaniline Nanocomposites: A Critical Review
    Authors: HD Kyomuhimbo, U Feleni
    Year: 2022

 

  1. Title: Recent Advances in Applications of Oxidases and Peroxidases Polymer-Based Enzyme Biocatalysts in Sensing and Wastewater Treatment: A Review
    Authors: HD Kyomuhimbo, U Feleni, NH Haneklaus, H Brink
    Year: 2023

 

  1. Title: Electroconductive Polyaniline–Ag-ZnO Green Nanocomposite Material
    Authors: HD Kyomuhimbo, NM Michira, II Emmanuel, U Feleni
    Year: 2022

 

  1. Title: Rare Earth Elements and Uranium in Minjingu Phosphate Fertilizer Products: Plant Food for Thought
    Authors: NH Haneklaus, DA Mwalongo, JB Lisuma, AI Amasi, J Mwimanzi, T Bituh, …
    Year: 2024

 

  1. Title: Hydrothermal Liquefaction of Water Hyacinth: Effect of Process Conditions and Magnetite Nanoparticles on Biocrude Yield and Composition
    Authors: D Egesa, P Mulindwa, E Mubiru, G Aturagaba
    Year: 2021

 

  1. Title: Green Synthesis, Characterization and Antimicrobial Evaluation of Silver and Zinc Oxide Nanoparticles from Extracts of Bidens pilosa
    Authors: HD Kyomuhimbo
    Year: 2019

 

  1. Title: Synthesis and Dye Adsorption Dynamics of Chitosan–Polyvinylpolypyrrolidone (PVPP) Composite
    Authors: HD Kyomuhimbo, W McHunu, M Arnold, U Feleni, NH Haneklaus, …
    Year: 2024

 

  1. Title: Immobilization of Laccase Enzyme on Zinc Oxide and Silver Doped Zinc Oxide Nanoparticle-Chitosan-PVPP Composite Beads
    Authors: HD Kyomuhimbo, EMN Chirwa, U Feleni, HG Brink
    Year: 2024

 

  1. Title: Cytotoxic-Ag-Modified Eggshell Membrane Nanocomposites as Bactericides in Concrete Mortar
    Authors: ST Aina, HD Kyomuhimbo, B Du Plessis, V Mjimba, N Haneklaus, …
    Year: 2023

 

Chandra Wadde | Engineering | Best Researcher Award

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Mr. Chandra Wadde | Engineering | Best Researcher Award

Ph.D Scholar at SRM University-AP, India

Wadde Chandra (b. February 14, 1995) is a passionate researcher and academic in mmWave imaging and Internet of Things (IoT). Based in Siddarampuram, Andhra Pradesh, he is currently pursuing a Ph.D. at SRM University, AP, focusing on mmWave FMCW radar systems. Chandra has over two years of teaching experience and has worked on diverse IoT, AI, and radar imaging projects. His work includes significant research in near-field imaging and data analysis using Power BI. Fluent in Telugu and English, he is committed to advancing innovative technologies and contributing to academia and industry.

Profile

Scopus

Scholar

πŸŽ“ Education 

Ph.D. (2023–Present): mmWave Imaging via FMCW Radar, SRM University, AP. M.Tech (2018–2021): Internet of Things, JNTUA College of Engineering, Ananthapur. B.Tech (2014–2017): Electronics & Communication Engineering, JNTUA College of Engineering, Ananthapur. Diploma (2010–2013): Electronics & Communication Engineering, ARIES Polytechnic College. SSC (Schooling): Sri Sathya Sai Deenajanodharana Pathakam, Puttaparthi.

🏒 Experience 

Assistant Professor (2022–2023): Gudlavalleru Engineering College, handled IoT, Machine Learning, and Instrumentation. Assistant Professor (2021–2022): Sanskrithi School of Engineering, taught Analog Circuits and Communication Systems. Internships: DQA & Power BI Analysis (Efftronics Pvt. Ltd., Vijayawada, 2020–2021). ATCS Traffic Control System (Efftronics Pvt. Ltd., 2018–2019). CI & Lean Leader (Amara Raja Electronics, 2013).

πŸ† Awards & Honors 

Accepted papers in SPACE 2024 and MAPCON 2024 for mmWave radar innovations. Multiple journal submissions to IEEE SENSOR Journal in progress. Presented impactful work on SAR modeling, AI, and radar technology at prestigious conferences. Recognition in professional internships for automation, data analytics, and innovation in radar technology.

πŸ”¬ Research Focus 

mmWave Imaging: Advanced radar techniques, 2D SAR imaging, and wall-interference modeling. Internet of Things (IoT): Seamless integration of smart devices and systems. Artificial Intelligence (AI): Machine learning applications in imaging and data analytics. Data Analysis: Power BI for large-scale fault detection and performance metrics.

Conclusion

Wadde Chandra’s solid educational background, hands-on research experience, and contributions to conferences make him a strong candidate for the Best Researcher Award. Continued progress in publishing impactful journal articles and expanding his professional network would bolster his candidacy and establish him as a prominent figure in his research fields.

πŸ“šPublications 

  1. Modeling of mmWave FMCW Radar System for 2D SAR Imaging
    • Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
    • Year: 2024
    • Pages: 1109–1112
    • Authors: Wadde, C.; Karvande, R.S.; Kumar, R.

 

  1. Preliminary Analysis of mmWave SAR Model and Machine Learning Approach
    • Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
    • Year: 2024
    • Pages: 1148–1151
    • Authors: Wadde, C.; Routhu, G.; Karvande, R.S.; Kumar, R.

omkar kulkarni | Mechanical | Young Scientist Award

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Dr. omkar kulkarni | Mechanical | Best Researcher Award

 Dr. Vishwanath Karad MIT World Peace University, India

Dr. Omkar Kamalakant Kulkarni is a dedicated educator and researcher in Mechanical Engineering, specializing in micro-forming and manufacturing optimization. He currently serves at Dr. Vishwanath Karad MIT World Peace University, Pune, with over a decade of academic experience. A recipient of prestigious awards like the Young Engineers Award, Dr. Kulkarni focuses on leveraging computational intelligence to enhance manufacturing processes. His expertise spans advanced material processing, CNC programming, and design optimization, underpinned by a strong foundation in mechanical engineering. Passionate about teaching and research, he actively contributes to both academia and industry innovation.

Profile

Scopus

Scholar

πŸŽ“ Education

Ph.D.: Mechanical Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, 2023. M.E.: CAD/CAM Engineering, Zeal College of Engineering, Pune (SPPU), 2015, CGPA: 8.45. B.E.: Mechanical Engineering, Dhole Patil College of Engineering, Pune, 2013, 66.33%. Diploma: Mechanical Engineering, BVJNIOT, Pune, 2009, 72.83%. SSC: Muktangan English School, Pune, 2006, 65%.

πŸ’Ό Experience

Assistant Professor, Dr. Vishwanath Karad MIT World Peace University, Pune (2020–Present). Lecturer, Maharashtra Institute of Technology, Pune (2017–2020). Faculty, Zeal College of Engineering & Research, Pune (2013–2017). Over 10 years of academic experience focused on teaching advanced mechanical concepts, guiding projects, and engaging in research collaborations.

πŸ† Awards and Honors

Young Engineers Award, IEI Kolkata, 2023 (National). IMTEX Metal Forming Certificate, IMTEX 2022 (National). 2nd Rank in University, Savitribai Phule Pune University, 2015 (State). Recognized for excellence in teaching, research, and technical innovation in mechanical engineering.

πŸ”¬ Research Focus

Micro-Forming: Investigations into bio-materials and precision forming. Optimization: Springback minimization in deep drawing using Cohort Intelligence Algorithm. CNC Programming: Process planning and automation using MastercamX5. Specializes in leveraging computational tools to advance manufacturing efficiency and material properties.

πŸ†Conclusion 

Dr. Kulkarni’s dedication to advancing mechanical engineering through innovative research and optimization techniques makes him a strong contender for the Research for Young Scientist Award. By addressing areas of improvement and continuing to build on his impressive foundation, he can further cement his position as a leading researcher in his field. His academic contributions, technical expertise, and commitment to education and innovation clearly align with the spirit of the award.

πŸ“šPublications 

  • Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions
    Year: 2017
    Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni

 

  • Constrained Cohort Intelligence Using Static and Dynamic Penalty Function Approach for Mechanical Components Design
    Year: 2018
    Authors: O. Kulkarni, N. Kulkarni, A.J. Kulkarni, G. Kakandikar

 

  • Process Parameter Optimization in WEDM by Grey Wolf Optimizer
    Year: 2018
    Authors: O. Kulkarni, S. Kulkarni

 

  • An Insight Review on Jellyfish Optimization Algorithm and Its Application in Engineering
    Year: 2022
    Authors: A. Khare, G.M. Kakandikar, O.K. Kulkarni

 

  • Experimental and Numerical Investigations on Forming Limit Curves in Micro Forming
    Year: 2022
    Authors: G. Patel, K. Ganesh M., O. Kulkarni

 

  • Optimising Fracture in Automotive Tail Cap by Firefly Algorithm
    Year: 2020
    Authors: G.M. Kakandikar, O. Kulkarni, S. Patekar, T. Bhoskar

 

  • Parameter Optimization of AISI 316 Austenitic Stainless Steel for Surface Roughness by Grasshopper Optimization Algorithm
    Year: 2021
    Authors: S. Jawade, O.K. Kulkarni, G.M. Kakandikar

 

  • Process Parameters Optimization by Bat Inspired Algorithm of CNC Turning on EN8 Steel for Prediction of Surface Roughness
    Year: 2021
    Authors: C.G. Burande, O.K. Kulkarni, S. Jawade, G.M. Kakandikar

 

  • Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm
    Year: 2020
    Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni, V.M. Nandedkar

 

  • Development of a Multi-Objective Salp Swarm Algorithm for Benchmark Functions and Real-World Problems
    Year: 2019
    Authors: S.P. Mhatugade, G.M. Kakandikar, O.K. Kulkarni, V.M. Nandedkar

 

 

Anbuchandran S | Electrical Engineering | Best Researcher Award

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Prof. Dr. Anbuchandran S | Electrical Engineering | Best Researcher Award

Associate Professor at Chennai Institute of Technology,  India

S. Anbu Chandran is a dedicated academician with over 19 years of teaching experience in Electrical and Electronics Engineering. He specializes in optimizing power systems using cutting-edge algorithms like Fuzzified Firefly Optimization. Anbu Chandran completed his Ph.D. at Anna University in 2022 and has contributed significantly to distributed generation and microgrid research. With an extensive list of publications and professional affiliations, he actively mentors students while coordinating institutional accreditations and placement programs.

Profile

Scopus

Orcid

Scholar

πŸŽ“ Education

Ph.D. (Electrical Engineering): Anna University, Chennai (2022) Thesis: Fuzzified firefly algorithm for optimal sizing and location of distributed generators.. M.E. (Power Systems Engineering): Arulmigu Kalasalingam College of Engineering, Anna University (2004), 67%. B.E. (Electrical and Electronics Engineering): Arulmigu Kalasalingam College of Engineering, Madurai Kamaraj University (2001), 67.4%.

πŸ’Ό Experience

Teaching: 19 years in engineering colleges, focusing on power systems and optimization. Project: Designed a muzzle velocity measurement coil at Bharat Electronics Limited, Bangalore.  Major Roles: NAAC/NBA Coordinator, Placement Coordinator, NCC Magazine Editor, Student Counselor.

πŸ† Awards and Honors

Excellence in Peer Reviewing by BP International, London. Reviewer for top journals including Springer, IOP, and SAGE. Life Memberships: ISTE and IAENG. Recognized for outstanding research contributions with a Scopus h-index of 4.

πŸ”¬ Research Focus

 Distributed generation optimization and microgrid systems.  Fuzzified Firefly and Multi-objective algorithms for power systems.  Renewable energy integration and smart grid enhancements.  Hybrid power systems and energy efficiency techniques.

Conclusion

Dr. S. Anbu Chandran’s exceptional academic journey, extensive teaching career, and robust research portfolio make him a deserving candidate for the Best Researcher Award. His consistent efforts to advance the field of electrical engineering, combined with his dedication to academic and professional growth, reflect his commitment to excellence and innovation. Recognizing his work with this award would further motivate him to achieve new heights in research and knowledge dissemination.

πŸ“šPublications 

    1. DC Microgrid for EV Charging Station with EV Control by Using STSM Controllers
      Year: 2024
      Authors: Anbuchandran, S., Babu, M.A., Stephen, D.S., Thinakaran, M.

     

    1. MIWO Based MPPT of PV System for Induction Motor Driven Water Pumping System
      Year: 2024
      Authors: Anbuchandran, S., Stephen, D.S., Babu, M.A., Bhuvanesh, A.

     

    1. Multi-objective Optimal Distributed Generators Integration Using Firefly Algorithm with Fuzzy Decision Making
      Year: 2024
      Authors: Anbuchandran, S., Kalarathi, M., Suresh, S., Bhuvanesh, A.

     

    1. A Hybrid Optimization for Distributed Generation and D-STATCOM Placement in Radial Distribution Network: A Multi-faceted Evaluation
      Year: 2024
      Authors: Anbuchandran, S., Arumuga Babu, M., Silas Stephen, D., Thinakaran, M.

     

    1. Enhancing Grid Voltage Stability and Reliability by Harnessing Off-grid Power Sources with Multi-objective Fuzzy Spark Firefly Optimization Algorithm
      Year: 2024
      Authors: Anbuchandran, S., Jaya Christa, S.T., Suresh, S., Bhuvanesh, A.

     

    1. Optimal Sizing of Hybrid Power System Using Genetic Algorithm Based Partial Reinforcement Optimizer
      Year: 2024
      Authors: Anbuchandran, S., Mano Raja Paul, M., Karthik Prabhu, D., Bhuvanesh, A., Jones Raj, S.

     

    1. Enhancing Distribution System Pliability and Planning with Distributed Generators Using Fuzzy Firefly Optimization
      Year: 2024
      Authors: Anbuchandran, S., Christa, S.T.J., Kannan, S., Bhuvanesh, A.

     

    1. Enhancing Grid Resilience and Efficiency with Distributed Generators Through Fuzzified Firefly Optimization
      Year: 2024
      Authors: Anbuchandran, S., Jaya Christa, S.T., Suresh, S., Bhuvanesh, A.

     

    1. A Multi-objective Optimum Distributed Generation Placement Using Firefly Algorithm
      Year: 2022
      Authors: Anbuchandran, S., Rengaraj, R., Bhuvanesh, A., Karuppasamypandiyan, M.

Anuradha Laishram | Computer vision | Best Researcher Award

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Dr. Anuradha Laishram | Computer vision | Best Researcher Award

Doctorate at National Institute of Technology Manipur, India

Dr. Anuradha Laishram is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Manipur. With a Ph.D. in Computer Science from the same institution, her research has significantly contributed to the fields of medical image processing and deep learning. She holds a Master’s degree from UVCE, Bangalore University, and a Bachelor’s degree from Visvesvaraya Technological University, Belgaum. Dr. Laishram is known for her expertise in machine learning and her active involvement in impactful research projects, including mHealth solutions and AI translation software. Her dedication to teaching and research makes her a prominent figure in the academic community.

profile:

Scopus Profile

πŸŽ“ Education

  • Ph.D. in Computer Science and Engineering
    • University: National Institute of Technology Manipur
    • Year of Award: 2022
    • Thesis Title: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning
  • Master of Engineering in Computer Science and Engineering
    • University: UVCE, Bangalore University
    • Year of Passing: 2011
    • Percentage: 79.8%
    • Project: Minimizing Delay and Maximizing Lifetime of Wireless Sensor Network
  • Bachelor of Engineering in Computer Science and Engineering
    • University: Visvesvaraya Technological University, Belgaum
    • Year of Passing: 2008
    • Percentage: 64.5%
  • Other Educational Achievement:
    • Qualified GATE Exam 2008 with an All India Rank of 474 and 97.29 percentile.

Professional Experience

Dr. Anuradha Laishram has extensive experience in academia, currently serving as an Assistant Professor at the National Institute of Technology Manipur in the Department of Computer Science and Engineering since 2014. Prior to this, she gained six months of teaching experience as a lecturer at Alpha College of Engineering, Bangalore in 2011. Her teaching repertoire includes both undergraduate and postgraduate courses such as Computer Programming in C, Data Structures and Algorithm, Computer Organization and Architecture, and Data Communication and Computer Networks. She is proficient in programming languages including C, C++, and Python.

πŸ”¬ Research

Dr. Laishram’s research interests lie in the fields of machine learning, deep learning, medical image processing, and wireless sensor networks. Her doctoral research focused on the automatic classification of kidney diseases and oral anomalies using advanced neural network techniques and deep learning models. She has also contributed to various sponsored research projects, including the development of mHealth solutions for remote tribal areas and AI translation software.

Publication:πŸ“